Abstract
This paper presents an efficient human verification system based on vein patterns of the hand. A new absorption based technique has been proposed to collect good quality images with the help of a low cost camera and light source. The system automatically detects the region of interest from the image and does the necessary processing to extract various features. Matching technique based on Euclidean Distance has been used for making the decision. It has been tested on a data set of 1750 image samples collected from 341 individuals. The accuracy of the recognition system is found to be 99.26% with FRR of 0.03%.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Badawi, A.: Hand vein biometric verification prototype: A testing performance and patterns similarity. In: Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition, pp. 3–9 (2006)
De Luis Garcia, R., Alberola-Lopez, C., Aghzoutb, O.: Ruiz,A. Biometric identification systems. Signal Processing 83, 2539–2557 (2003)
Gonzalez, R.C., Woods, R.E.: Digital image processing using MATLAB, 1st edn. Prentice Hall, Englewood Cliffs (2003)
Halici, U., Jain, L.C., Erol, A.: Introduction to fingerprint recognition. Intelligent Biometric Techniques in Fingerprint and Face Recognition, 3–34 (1999)
Kass, M., Witkin, A., Terzopoulos, D.: Snake: Active contour models. International Journal of Computer Vision 1, 321–333 (1988)
Khanna, V., Gupta, P., Hwang, C.J.: Finding connected components in digital images by aggressive reuse of labels. International Vision Computing 20, 557–568 (2002)
Lakshmi, D.C., Kandaswamy, A.: An algorithm for improved accuracy in unimodal biometric systems through fusion of multiple feature sets. ICGST-GVIP Journal 9, 33–40 (2009)
Im, S.K., Park, H.M., Kim, Y.W., Han, S.C., Kim, S.W., Kang, C.H.: Improved vein pattern extracting algorithm and its Implementation. Journal of the Korean Physical Society 38, 268–272 (2001)
Wang, L., Leedham, C.G.: A thermal hand vein pattern verification system. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds.) ICAPR 2005. LNCS, vol. 3687, pp. 58–65. Springer, Heidelberg (2005)
Wang, L., Leedham, C.G.: Near and far-infrared imaging for vein pattern biometrics. In: Proceedings of IEEE International Conference on Advanced Video and Signal Based Surveillance (2006)
Wang, L., Leedham, G., Cho, S.Y.D.: Minutiae feature analysis for infrared hand vein pattern biometrics. Pattern Recognition 41, 920–929 (2008)
Watanabe, M., Endoh, T., Shiohara, M., Sasaki, S.: Palm vein authentication technology and its applications. In: Proceedings of the Biometric Consortium Conference (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Soni, M., Gupta, S., Gupta, P. (2010). A New Approach for Vein Pattern-Based Recognition. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_60
Download citation
DOI: https://doi.org/10.1007/978-3-642-14922-1_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14921-4
Online ISBN: 978-3-642-14922-1
eBook Packages: Computer ScienceComputer Science (R0)